Artículos de revistas sobre el tema "3D Networks"
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Liang, Long, Christopher Jones, Shaohua Chen, Bo Sun y Yang Jiao. "Heterogeneous force network in 3D cellularized collagen networks". Physical Biology 13, n.º 6 (25 de octubre de 2016): 066001. http://dx.doi.org/10.1088/1478-3975/13/6/066001.
Texto completoGou, Pingzhang, Baoyong Guo, Miao Guo y Shun Mao. "VKECE-3D: Energy-Efficient Coverage Enhancement in Three-Dimensional Heterogeneous Wireless Sensor Networks Based on 3D-Voronoi and K-Means Algorithm". Sensors 23, n.º 2 (4 de enero de 2023): 573. http://dx.doi.org/10.3390/s23020573.
Texto completoLeng, Biao, Yu Liu, Kai Yu, Xiangyang Zhang y Zhang Xiong. "3D object understanding with 3D Convolutional Neural Networks". Information Sciences 366 (octubre de 2016): 188–201. http://dx.doi.org/10.1016/j.ins.2015.08.007.
Texto completoChaaban, Fadi, Hanan Darwishe y Jamal El Khattabi. "A Semi-Automatic Approach in GIS for 3D Modeling and Visualization of Utility Networks: Application for Sewer & Stormwater networks". MATEC Web of Conferences 295 (2019): 02003. http://dx.doi.org/10.1051/matecconf/201929502003.
Texto completoWang, Shaohua, Yeran Sun, Yinle Sun, Yong Guan, Zhenhua Feng, Hao Lu, Wenwen Cai y Liang Long. "A Hybrid Framework for High-Performance Modeling of Three-Dimensional Pipe Networks". ISPRS International Journal of Geo-Information 8, n.º 10 (8 de octubre de 2019): 441. http://dx.doi.org/10.3390/ijgi8100441.
Texto completoHUANG, MING, JINGJING YANG, ZHE XIAO, JUN SUN y JINHUI PENG. "MODELING THE DIELECTRIC RESPONSE IN HETEROGENEOUS MATERIALS USING 3D RC NETWORKS". Modern Physics Letters B 23, n.º 25 (10 de octubre de 2009): 3023–33. http://dx.doi.org/10.1142/s0217984909021090.
Texto completoFries, David y Geran Barton. "3D MICROSENSOR IMAGING ARRAYS NETWORKS". Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2015, DPC (1 de enero de 2015): 000348–78. http://dx.doi.org/10.4071/2015dpc-ta33.
Texto completoJeong, Cheol y Won-Yong Shin. "Capacity of 3D Erasure Networks". IEEE Transactions on Communications 64, n.º 7 (julio de 2016): 2900–2912. http://dx.doi.org/10.1109/tcomm.2016.2569580.
Texto completoBerber, Mustafa, Petr Vaníček y Peter Dare. "Robustness analysis of 3D networks". Journal of Geodynamics 47, n.º 1 (enero de 2009): 1–8. http://dx.doi.org/10.1016/j.jog.2008.02.001.
Texto completoThomas, Edwin L. "Nanoscale 3D ordered polymer networks". Science China Chemistry 61, n.º 1 (13 de diciembre de 2017): 25–32. http://dx.doi.org/10.1007/s11426-017-9138-5.
Texto completoLivingstone, David J y David T Manallack. "Neural Networks in 3D QSAR". QSAR & Combinatorial Science 22, n.º 5 (julio de 2003): 510–18. http://dx.doi.org/10.1002/qsar.200310003.
Texto completoCai, Jiahui y Jianguo Hu. "3D RANs: 3D Residual Attention Networks for action recognition". Visual Computer 36, n.º 6 (25 de julio de 2019): 1261–70. http://dx.doi.org/10.1007/s00371-019-01733-3.
Texto completoLombardo, Andrew T., Shane R. Nelson, Guy G. Kennedy, Kathleen M. Trybus, Sam Walcott y David M. Warshaw. "Myosin Va transport of liposomes in three-dimensional actin networks is modulated by actin filament density, position, and polarity". Proceedings of the National Academy of Sciences 116, n.º 17 (9 de abril de 2019): 8326–35. http://dx.doi.org/10.1073/pnas.1901176116.
Texto completoKalayci, Selim y Zeynep H. Gümüş. "Exploring Biological Networks in 3D, Stereoscopic 3D, and Immersive 3D with iCAVE". Current Protocols in Bioinformatics 61, n.º 1 (marzo de 2018): 8.27.1–8.27.26. http://dx.doi.org/10.1002/cpbi.47.
Texto completoHu, Zihe, Jing Guo y Xuequan Zhang. "Three-Dimensional (3D) Parametric Modeling and Organization for Web-Based Visualization of City-Scale Pipe Network". ISPRS International Journal of Geo-Information 9, n.º 11 (24 de octubre de 2020): 623. http://dx.doi.org/10.3390/ijgi9110623.
Texto completoHu, Kejian y Xiaoguang Wu. "A Bridge Structure 3D Representation for Deep Neural Network and Its Application in Frequency Estimation". Advances in Civil Engineering 2022 (22 de marzo de 2022): 1–13. http://dx.doi.org/10.1155/2022/1999013.
Texto completoPollet, Andreas M. A. O., Erik F. G. A. Homburg, Ruth Cardinaels y Jaap M. J. den Toonder. "3D Sugar Printing of Networks Mimicking the Vasculature". Micromachines 11, n.º 1 (30 de diciembre de 2019): 43. http://dx.doi.org/10.3390/mi11010043.
Texto completoFirat, Mehmet. "Analysis of 3D Virtual Worlds as Connected Knowledge Networks". International Journal of Information and Education Technology 4, n.º 2 (2014): 203–7. http://dx.doi.org/10.7763/ijiet.2014.v4.399.
Texto completoMonteagudo, Jorge E. P. y Paulo L. C. Lage. "Cross-Properties Relations in 3D Percolation Networks: II. Network Permeability". Transport in Porous Media 61, n.º 3 (diciembre de 2005): 259–74. http://dx.doi.org/10.1007/s11242-004-7363-2.
Texto completoMengu, Deniz, Yifan Zhao, Nezih T. Yardimci, Yair Rivenson, Mona Jarrahi y Aydogan Ozcan. "Misalignment resilient diffractive optical networks". Nanophotonics 9, n.º 13 (4 de julio de 2020): 4207–19. http://dx.doi.org/10.1515/nanoph-2020-0291.
Texto completoMerino, Ibon, Jon Azpiazu, Anthony Remazeilles y Basilio Sierra. "3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts". Sensors 21, n.º 4 (4 de febrero de 2021): 1078. http://dx.doi.org/10.3390/s21041078.
Texto completoJiang, Haiyang, Yaozong Pan, Jian Zhang y Haitao Yang. "Battlefield Target Aggregation Behavior Recognition Model Based on Multi-Scale Feature Fusion". Symmetry 11, n.º 6 (5 de junio de 2019): 761. http://dx.doi.org/10.3390/sym11060761.
Texto completoKim, Seong Kwang, YeonJoo Jeong, Pavlo Bidenko, Hyeong-Rak Lim, Yu-Rim Jeon, Hansung Kim, Yun Jung Lee et al. "3D Stackable Synaptic Transistor for 3D Integrated Artificial Neural Networks". ACS Applied Materials & Interfaces 12, n.º 6 (15 de enero de 2020): 7372–80. http://dx.doi.org/10.1021/acsami.9b22008.
Texto completoYang, Zhuxian, Chunze Yan, Jinhui Liu, Sakineh Chabi, Yongde Xia y Yanqiu Zhu. "Designing 3D graphene networks via a 3D-printed Ni template". RSC Advances 5, n.º 37 (2015): 29397–400. http://dx.doi.org/10.1039/c5ra03454j.
Texto completoNiu, Lei, Zhiyong Wang, Yiquan Song y Yi Li. "An Evaluation Model for Analyzing Robustness and Spatial Closeness of 3D Indoor Evacuation Networks". ISPRS International Journal of Geo-Information 10, n.º 5 (13 de mayo de 2021): 331. http://dx.doi.org/10.3390/ijgi10050331.
Texto completoChang, Inho, Min-Gyu Park, Je Woo Kim y Ju Hong Yoon. "Absolute 3D Human Pose Estimation Using Noise-Aware Radial Distance Predictions". Symmetry 15, n.º 1 (22 de diciembre de 2022): 25. http://dx.doi.org/10.3390/sym15010025.
Texto completoLan, Qiang, Zelong Wang, Mei Wen, Chunyuan Zhang y Yijie Wang. "High Performance Implementation of 3D Convolutional Neural Networks on a GPU". Computational Intelligence and Neuroscience 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/8348671.
Texto completoJia, Xiaogang, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan y Libo Huang. "A Joint 2D-3D Complementary Network for Stereo Matching". Sensors 21, n.º 4 (18 de febrero de 2021): 1430. http://dx.doi.org/10.3390/s21041430.
Texto completoDinc, Niyazi Ulas, Demetri Psaltis y Daniel Brunner. "Optical neural networks: The 3D connection". Photoniques, n.º 104 (septiembre de 2020): 34–38. http://dx.doi.org/10.1051/photon/202010434.
Texto completoValderhaug, Vibeke Devold, Wilhelm Robert Glomm, Eugenia Mariana Sandru, Masahiro Yasuda, Axel Sandvig y Ioanna Sandvig. "Formation of neural networks with structural and functional features consistent with small-world network topology on surface-grafted polymer particles". Royal Society Open Science 6, n.º 10 (octubre de 2019): 191086. http://dx.doi.org/10.1098/rsos.191086.
Texto completoRuan, Kun, Shun Zhao, Xueqin Jiang, Yixuan Li, Jianbo Fei, Dinghua Ou, Qiang Tang, Zhiwei Lu, Tao Liu y Jianguo Xia. "A 3D Fluorescence Classification and Component Prediction Method Based on VGG Convolutional Neural Network and PARAFAC Analysis Method". Applied Sciences 12, n.º 10 (12 de mayo de 2022): 4886. http://dx.doi.org/10.3390/app12104886.
Texto completoTumanov, E. A. "Fluid simulation utilizing 3D convolutional networks". Proceedings of Moscow Institute of Physics and Technology 13, n.º 3 (2021): 109–17. http://dx.doi.org/10.53815/20726759_2021_13_3_109.
Texto completoLaera, Anna Maria, Luciana Mirenghi, Monica Schioppa, Concetta Nobile, Laura Capodieci, Anna Grazia Scalone, Francesca Di Benedetto y Leander Tapfer. "Fabrication of 3D carbon nanotube networks". Materials Research Express 3, n.º 8 (4 de agosto de 2016): 085007. http://dx.doi.org/10.1088/2053-1591/3/8/085007.
Texto completoScarselli, Manuela. "(Invited) 3D Multifunctional Carbon Nanotube Networks". ECS Transactions 86, n.º 1 (20 de julio de 2018): 85–96. http://dx.doi.org/10.1149/08601.0085ecst.
Texto completoAhlström, Johan, Casey Jessop, Lars Hammar y Christer Persson. "3D characterisation of RCF crack networks". MATEC Web of Conferences 12 (2014): 06001. http://dx.doi.org/10.1051/matecconf/20141206001.
Texto completoRon, Racheli, Marcin Stefan Zielinski y Adi Salomon. "Cathodoluminescence Nanoscopy of 3D Plasmonic Networks". Nano Letters 20, n.º 11 (15 de octubre de 2020): 8205–11. http://dx.doi.org/10.1021/acs.nanolett.0c03317.
Texto completoHolzreiter, Stefan. "Autolabeling 3D tracks using neural networks". Clinical Biomechanics 20, n.º 1 (enero de 2005): 1–8. http://dx.doi.org/10.1016/j.clinbiomech.2004.04.006.
Texto completoWu, Willie, Adam DeConinck y Jennifer A. Lewis. "Omnidirectional Printing of 3D Microvascular Networks". Advanced Materials 23, n.º 24 (23 de marzo de 2011): H178—H183. http://dx.doi.org/10.1002/adma.201004625.
Texto completoJian, Hongdeng, Xiangtao Fan, Jian Liu, Qingwen Jin y Xujie Kang. "A Quaternion-Based Piecewise 3D Modeling Method for Indoor Path Networks". ISPRS International Journal of Geo-Information 8, n.º 2 (15 de febrero de 2019): 89. http://dx.doi.org/10.3390/ijgi8020089.
Texto completoThalore, Ranjana, Partha Pratim Bhattacharya y Manish Kumar Jha. "Performance Comparison of Homogeneous and Heterogeneous 3D Wireless Sensor Networks". Journal of Telecommunications and Information Technology, n.º 2 (30 de junio de 2017): 32–37. http://dx.doi.org/10.26636/jtit.2017.110216.
Texto completoNyan, L. T., A. I. Gavrilov y M. T. Do. "Classification of Hyperspectral Remote Earth Sensing Data using Combined 3D--2D Convolutional Neural Networks". Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, n.º 1 (138) (marzo de 2022): 100–118. http://dx.doi.org/10.18698/0236-3933-2022-1-100-118.
Texto completoLuo, Guoliang, Guoming Xiong, Xiaojun Huang, Xin Zhao, Yang Tong, Qiang Chen, Zhiliang Zhu, Haopeng Lei y Juncong Lin. "Geometry Sampling-Based Adaption to DCGAN for 3D Face Generation". Sensors 23, n.º 4 (9 de febrero de 2023): 1937. http://dx.doi.org/10.3390/s23041937.
Texto completoMahmoudi Kouhi, Reza, Sylvie Daniel y Philippe Giguère. "Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks". Remote Sensing 15, n.º 4 (10 de febrero de 2023): 982. http://dx.doi.org/10.3390/rs15040982.
Texto completoZHANG, DAKUN, GUOZHI SONG, KUNLIANG LIU, YONG MA, CHENGLONG ZHAO y XU AN WANG. "Comprehensive Improved Simulated Annealing Optimization for Floorplanning of Heterogeneous 3D Networks-on-Chip". Journal of Interconnection Networks 15, n.º 03n04 (septiembre de 2015): 1540006. http://dx.doi.org/10.1142/s021926591540006x.
Texto completoWu, Qiang. "Construction and 3D Simulation of Virtual Animation Instant Network Communication System Based on Convolution Neural Networks". Computational Intelligence and Neuroscience 2021 (28 de agosto de 2021): 1–9. http://dx.doi.org/10.1155/2021/7277733.
Texto completoJoshi, Abhishek, Sarang Dhongdi, Rishabh Sethunathan, Pritish Nahar y K. R. Anupama. "Energy Efficient Clustering Based Network Protocol Stack for 3D Airborne Monitoring System". Journal of Computer Networks and Communications 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8921261.
Texto completoVasileiadis, Manolis, Christos-Savvas Bouganis y Dimitrios Tzovaras. "Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks". Computer Vision and Image Understanding 185 (agosto de 2019): 12–23. http://dx.doi.org/10.1016/j.cviu.2019.04.011.
Texto completoWang, Hao, Ming-hui Sun, Hao Zhang y Li-yan Dong. "LHPE-nets: A lightweight 2D and 3D human pose estimation model with well-structural deep networks and multi-view pose sample simplification method". PLOS ONE 17, n.º 2 (23 de febrero de 2022): e0264302. http://dx.doi.org/10.1371/journal.pone.0264302.
Texto completoTan, Jindong, Fanyu Kong y Wei Liang. "A 3D object model for wireless camera networks with network constraints". Transactions of the Institute of Measurement and Control 35, n.º 7 (12 de septiembre de 2012): 866–74. http://dx.doi.org/10.1177/0142331212457584.
Texto completoFu, Junwei y Jun Liang. "Virtual View Generation Based on 3D-Dense-Attentive GAN Networks". Sensors 19, n.º 2 (16 de enero de 2019): 344. http://dx.doi.org/10.3390/s19020344.
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